A physics-data-driven method for predicting surface and building settlement induced by tunnel construction

Surface and surrounding building settlement is frequently caused by soil disturbance during subway tunnel construction, significantly impacting construction safety and structural stability. Traditional machine learning models have shown some effectiveness in settlement prediction but often fail to c...

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Podrobná bibliografie

Vydáno v:	Computers and geotechnics Ročník 179; s. 107020
Hlavní autoři:	Wang, You, Fan, Qianjun, Dai, Fang, Wang, Rui, Ding, Bosong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2025
Témata:	Metaheuristic optimization algorithms Pasternak foundation model Physics informed optimized extreme learning machine (PIOELM) Physics-data-driven Shield tunnelling Metaheuristic optimization algorithms Pasternak foundation model Shield tunnelling Physics informed optimized extreme learning machine (PIOELM) Physics-data-driven
ISSN:	0266-352X
On-line přístup:	Získat plný text
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